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t5-large-tweetqa-qag

Text2Text Generation
Transformers
PyTorch
English
t5
questions and answers generation
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
1
asahi417 commited on
Commit
36764c1
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1 Parent(s): dc5fbab

model update

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  1. README.md +16 -16
README.md CHANGED
@@ -27,37 +27,37 @@ model-index:
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  type: default
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  args: default
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  metrics:
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- - name: BLEU4
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- type: bleu4
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  value: 13.76
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- - name: ROUGE-L
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- type: rouge-l
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  value: 37.24
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- - name: METEOR
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- type: meteor
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  value: 31.61
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- - name: BERTScore
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- type: bertscore
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  value: 91.09
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- - name: MoverScore
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- type: moverscore
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  value: 62.77
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- - name: QAAlignedF1Score (BERTScore)
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  type: qa_aligned_f1_score_bertscore
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  value: 92.5
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- - name: QAAlignedRecall (BERTScore)
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  type: qa_aligned_recall_bertscore
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  value: 92.29
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- - name: QAAlignedPrecision (BERTScore)
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  type: qa_aligned_precision_bertscore
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  value: 92.72
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- - name: QAAlignedF1Score (MoverScore)
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  type: qa_aligned_f1_score_moverscore
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  value: 65.05
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- - name: QAAlignedRecall (MoverScore)
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  type: qa_aligned_recall_moverscore
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  value: 64.59
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- - name: QAAlignedPrecision (MoverScore)
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  type: qa_aligned_precision_moverscore
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  value: 65.58
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  ---
 
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  type: default
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  args: default
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  metrics:
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+ - name: BLEU4 (Question & Answer Generation)
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+ type: bleu4_question_answer_generation
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  value: 13.76
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+ - name: ROUGE-L (Question & Answer Generation)
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+ type: rouge_l_question_answer_generation
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  value: 37.24
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+ - name: METEOR (Question & Answer Generation)
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+ type: meteor_question_answer_generation
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  value: 31.61
39
+ - name: BERTScore (Question & Answer Generation)
40
+ type: bertscore_question_answer_generation
41
  value: 91.09
42
+ - name: MoverScore (Question & Answer Generation)
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+ type: moverscore_question_answer_generation
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  value: 62.77
45
+ - name: QAAlignedF1Score-BERTScore
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  type: qa_aligned_f1_score_bertscore
47
  value: 92.5
48
+ - name: QAAlignedRecall-BERTScore
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  type: qa_aligned_recall_bertscore
50
  value: 92.29
51
+ - name: QAAlignedPrecision-BERTScore
52
  type: qa_aligned_precision_bertscore
53
  value: 92.72
54
+ - name: QAAlignedF1Score-MoverScore
55
  type: qa_aligned_f1_score_moverscore
56
  value: 65.05
57
+ - name: QAAlignedRecall-MoverScore
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  type: qa_aligned_recall_moverscore
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  value: 64.59
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+ - name: QAAlignedPrecision-MoverScore
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  type: qa_aligned_precision_moverscore
62
  value: 65.58
63
  ---